Aaditya Bh, Rahul T M
Department of Civil Engineering, Indian Institute of Technology Ropar, Nangal Road, Rupnagar, Punjab 140001, India.
Travel Behav Soc. 2023 Jan;30:262-270. doi: 10.1016/j.tbs.2022.10.005. Epub 2022 Oct 12.
The need to understand the influence of the COVID-19 pandemic on the long-term travel behaviour of people has never been higher as a consequence of the second wave of pandemic. In this context, the current study aims to understand the willingness of people to use sustainable modes of transportation including shared modes of transport, and non-motorized transport, against non- shared modes of transport such as personal 2-wheelers and 4-wheelers in a post-vaccinated scenario. The study further models the willingness to choose public transportation under various COVID-19 preventive measures representing the perception of safety among people. An Integrated Choice and Latent Variable (ICLV) framework a employed in the modelling. The fear of contracting COVID-19 and the belief in remedial measures significantly influenced the mode choice of individuals. This highlighted a significant long-term impact of the pandemic on the travel behaviour of individuals. The study concludes by presenting different strategies that could be adopted to make the existing sustainable modes safer, and hence, more attractive.
由于第二波疫情,了解新冠疫情对人们长期出行行为的影响的需求从未如此迫切。在此背景下,当前的研究旨在了解在接种疫苗后的情况下,人们相对于个人两轮车和四轮车等非共享交通方式,使用包括共享交通方式和非机动车交通方式在内的可持续交通方式的意愿。该研究进一步对在各种新冠疫情预防措施下选择公共交通的意愿进行了建模,这些措施代表了人们对安全的认知。在建模过程中采用了综合选择和潜变量(ICLV)框架。感染新冠病毒的恐惧以及对补救措施的信念显著影响了个人的出行方式选择。这凸显了疫情对个人出行行为的重大长期影响。该研究最后提出了不同的策略,可用于使现有的可持续交通方式更安全,从而更具吸引力。